Tips From Hiring Leaders
What makes a great Data Scientist?
Q. What’s the ideal educational
background/degree for someone
interested in entry-level Data Science
roles at IBM?
A. We’ve found that those with a background
in quantitative or business fields make the
most successful Data Scientists:
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Math
Statistics
Computer Science
Engineering
Operational Research
Business
Q. What roles does IBM offer
for entry-level Data
Scientists?
A. We offer two challenging roles:
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Entry-level Data Scientist
Data Science Intern
Q. What types of skills do you look
for?
A. We look for proven experience in one
or more of the following areas:
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Good business acumen
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Leadership abilities
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Ability to use key analytic and cognitive
tools to design, develop and apply
appropriate statistical and
mathematical techniques to solve
business problems
Strong communication skills and
familiarity using visualization
techniques and tools to tell the story
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Q. What qualifications are essential to becoming a good
Data Scientist?
A. Here’s what we look for and what we’d love to see:
Minimum of a Bachelor degree; a preferred Masters in the
previously mentioned quantitative degrees or business.
Extra credit for:
▪ Experience performing Data Analysis
▪ Experience manipulating large volumes of data
▪ Familiar with key external data sources and how they are
gathered and retrieved
▪ Experience of languages and tools (data, analytics and
data manipulation), along with the ability to select a
suitable tool to work with data to achieve the analytics
solution
▪ Able to create visual presentations of analytics results and
translate quantitative insights for a non-technical audience
▪ Able to work with many types, forms and quantities of
data, and with data of different levels of quality (both
structured and unstructured/text data)
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Q. What attributes or personality traits help make a
good Data Scientist at IBM?
A. Here’s a few that we find consistently in top Data
Scientists:
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Tells stories with big data
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Intuitive and insatiably curious
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Explorer of new ideas
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Investigator and independent thinker
Q. What’s the mindset of a successful
Data Scientist at IBM?
A. While there’s no right answer, we’ve
found people with the following ethos
or way of thinking often do well:
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Someone who is always questioning
and constantly curious
Forever learning with a growth mindset
Managing data is part of the fun
My findings make an impact on my
clients—driving decisions and
optimizations
Q. What recommendations do you
have to help improve my
candidacy with IBM and to
prepare for my future career?
A.
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Here are some recommendations
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First, try Watson Candidate
Assistance–a cognitive career
guidance tool.
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Check out our Digital Badging
opportunities for Data Scientists.
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Get an IBM Watson Machine
Learning Digital Badge free!
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Learn about IBM Watson &
Udacity’s Natural Language
Processing Nanodegree.
Q. What recommendations do you have to help improve my
candidacy with IBM and to prepare for my future career?
A. Here are more recommendations:
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▪
Build Data Science and AI computing skills with Big Data
University for FREE online skill building courses, open badging,
experiential learning, and other credential building opportunities
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Test drive our Data Science tools like Data Science Experience
or other industry standards
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Get involved in a Capstone project at your University or build
your skills at a Bootcamp.
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Have general understanding of IBMs AI & Cloud Platform.
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Follow the Big Data & Analytics Hub .
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Familiarize yourself with our Strategy.
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Identify your strengths and unique traits using Watson
Personality Insights.
Q. Where can I learn more about the entry-level and
Intern Data Science roles at IBM?
A.
You have several options:
1.
Join our Talent Network and sign-up to receive Job
Alerts when Data Science roles become available.
2.
Check back on the IBM Career Website to learn more
about our entry-level and intern Data Science roles.
3.
Come out and meet us. Check with your Career
Services for current 2018-19 calendar of events.
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Thank you for your interest in a Data Science career at IBM.
Visit ibm.com/jobs/us/entry-level for details.
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